Silvia Cagnone (Avtor), Roberto Ricci (Avtor)

Povzetek

The aim of this work is to analyze a part of the data collected in the Computer Science Department during the Informatics exams in the year 2003. Twodifferent Item Response Theory models for ordered polytomous variables are considered in order to get an evaluation of student ability. Ordered polytomous variables are used for a problem solving process that contains a finite number of steps so that the ability of a student can be evaluated on the basis of the step achieved, namely, higher steps achieved are related to higher ability. The models considered are the Partial Credit Model and the Graded Response Model. The choice of these models has been dictated by the fact that although they are defined into different theoretical frameworks, theformer belongs to the Rasch family (Masters, 1982) and the latter can be viewed as a Generalized Linear Latent Variable Model (Bartholomew and Knott, 1999), and hence they present different properties, both of them allow to treat ordinal observed variables. The analysis of the real data set through the two approaches allows to highlight their advantages and disadvantages.

Ključne besede

Metodologija;Modeli;Analiza podatkov;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FDV - Fakulteta za družbene vede
Založnik: Fakulteta za družbene vede
UDK: 303
COBISS: 24315229 Povezava se bo odprla v novem oknu
ISSN: 1854-0023
Št. ogledov: 284
Št. prenosov: 64
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Neznan jezik
Sekundarne ključne besede: Methodology;Models;Data analysis;
URN: URN:NBN:SI
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: str. 209-218
Letnik: ǂVol. ǂ2
Zvezek: ǂno. ǂ2
Čas izdaje: 2005
Ključne besede (UDK): social sciences;družbene vede;methods of the social sciences;metode družbenih ved;
ID: 1467968
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